Biblio
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2007. Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 20:353–364.
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2006. Unsupervised Clustering of Continuous Trajectories of Kinematic Trees with SOM-SD. Proc. European Symposium on Artificial Neural Networks.
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2022. SYnENZ 2021: Bericht aus der SYnENZ Kommission. Jahrbuch der Braunschweigischen Wissenschaftlichen Gesellschaft. :154-160.
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2012. Intelligent Interfaces between Humans and Technology. 22:2.
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2019. Robotic Systems in Operating Theatres: New Forms of Team-Machine Interaction in Health Care - On Challenges for Health Information Systems on Adequately Considering Hybrid Action of Humans and Machines. Methods of Information in Medicine. 58:e14-e25.
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2001. Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.
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2013. Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. 94:107–127.
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2005. Trends in Neurocomputing at ESANN 2004. Neurocomputing. 64:1–4.
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2020. Kollaborative Roboter – universale Werkzeuge in der digitalisierten und vernetzten Arbeitswelt. G. W. Maier, G. Engels, E. Steffen (Hrg.): Handbuch Gestaltung digitaler und vernetzter Arbeitswelten. :323-346.
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2017. Robots in the digitalized workplace. The Wiley Blackwell Handbook of the Psychology of the Internet at Work. :403-422.
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2002. Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.
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1999. Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. Proc. European Symposium Artificial Neural Networks. :369–374.
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2019. Roboterlernen ohne Grenzen ? Lernende Roboter und ethische Fragen Christiane Woopen, Marc Jannes [Hrsg.] Roboter in der Gesellschaft. Technische Möglichkeiten und menschliche Verantwortung. :15-33.
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2005. Stability of backpropagtion-decorrelation efficient O(N) recurrent learning. Proc. European Symposium Artificial Neural Networks. :43–48.
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2019. Maschinelles Lernen und lernende Assistenzsysteme - Neue Tätigkeiten, Rollen und Anforderungen für Beschäftigte? Berufsbildung in Wissenschaft und Praxis – BWP. 3:14-18.
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2005. Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
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2004. Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
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1999. Planning of Regrasp Operations. IEEE International Conference on Robotics and Automation. :245–250.
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1994. Graphics & Robotics.
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2003. Kritische Analyse endoskopischer Eingriffe in der Kopfchirurgie für die Entwicklung eines robotischen Assistenzsystems. CURAC 2003, Computer und Roboter Assistierte Chirurgie.
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2007. Tactile sensors for robot guided intraoperative neurosurgery Taktile Sensorik für die Roboter-geführte intraoperative Neurochirurgie. 58. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e.V. (DGNC).
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2007. Taktile Sensorik für die Roboter geführte intraoperative Neurochirurgie. CURAC 2007, 6. Jahrestagung der Gesellschaft für Computer- und Roboterassistierte Chirurgie. :3–6.
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2009. Tactile sensor intended for intraoperative soft tissue robotic applications. CARS 2009, Proc. of the 23th International Congress and Exhibition, International Journal of Computer Assisted Radiology and Surgery. 4 (Supplement 1):300...
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2000. Wegkoordination mehrerer mobiler Roboter unter Berücksichtigung deterministischer, dynamischer Hindernisse. 16. Fachgepräch Automome Mobile Systeme Karlsruhe (AMS). :140–147.
